Senior Data Engineer

Proliance Surgeons, Inc. • Full-time • Seattle, Washington State, United States • $100.34k - $180.61k / year • 7h ago

Proliance Surgeons is one of the largest surgical practices in the country, with over 450 providers including over 200 board-certified physicians providing treatment at more than 100 care centers in Washington State.
At Proliance, our patients come from all walks of life and so do we. We hire, develop and engage great people from a wide variety of backgrounds and encourage growth and development to make our organization a great place to work. We draw on the differences in who we are, what we’ve experienced, and how we think to create Exceptional Outcomes, Personally Delivered.
We are proud to offer a comprehensive and competitive benefit and pay package including health coverage, 401k with match and profit share, PTO and more! For further details regarding Benefits and Washington State Minimum Wage details please visit our careers page at www.proliancesurgeons.com/careers
Compensation during the offer process will be determined based on factors such as compensation structure, experience, qualifications, and internal equity.
Be Part of Who We Are!

Position Summary
The Senior Data Engineer is an experienced individual contributor who designs, builds, and optimizes scalable data systems that support enterprise analytics, operational reporting, and business decision-making. This role works across departments to translate business needs into efficient, reliable data solutions while upholding data quality, consistency, and governance standards. The Senior Data Engineer applies advanced technical skills in SQL, Python, and BI tools to deliver robust reporting infrastructure and insights that improve organizational performance.
Key Duties and Responsibilities
The key duties and responsibilities of the Senior Data Engineer include, but are not limited to:

Design, develop, and maintain scalable data warehouse structures and ETL pipelines (SQL-based and cloud).
Create and optimize complex SQL queries, views, stored procedures, and scripts for business metrics and operational reporting.
Write and maintain Python scripts for data processing, automation, and advanced analytics.
Develop and manage interactive dashboards and visualizations using QlikSense (or Tableau/Power BI).
Perform advanced ad-hoc analyses and respond to data requests from all departments.
Work closely with teams in Revenue Cycle, Payroll, Accounting, IT, and Healthcare Operations to understand data needs and deliver actionable insights by designing reports tailored to each department’s specific needs.
Collaborate with business users to gather requirements and translate them into technical solutions.
Maintain strong data governance practices with a focus on quality, consistency, and regulatory compliance.
Proactively identify inefficiencies, troubleshoot data issues, and recommend/implement improvements.
Take ownership of projects and lead data-related initiatives from concept through execution.
Document data processes and communicate project updates to both technical and non-technical stakeholders.

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Education/Experience

Bachelor’s degree or higher in Computer Science, Engineering, Information Systems, or a related field.
Minimum of 5 years of experience in data engineering, data warehousing, or business intelligence.
Minimum of 5 years of experience working with healthcare or clinical data.
Advanced proficiency with T-SQL and SQL Server Management Studio.
Experience with Python for scripting, data automation, and transformation.
Experience using BI tools such as QlikSense (preferred), Tableau, or Power BI.
Familiarity with platforms such as DayForce, Adaptive Insights, Intacct, NextGen, Amkai, or SIS is a plus.
Understanding of healthcare coding conventions including ICD-9/10, CPT, and HCPCS, and working with claims data is highly valued.

Knowledge, Skills and Abilities

Strong knowledge of healthcare data standards, terminologies, and reporting requirements.
High-level proficiency in Microsoft Excel, including pivot tables, advanced formulas, Power Query, and macros.
Strong problem-solving skills and attention to detail when analyzing data or troubleshooting issues
Ability to manage workload and priorities independently in a deadline-driven environment.
Clear communication skills — able to explain complex data issues and collaborate effectively with both technical and non-technical teams.
Experience working with large data sets from multiple source systems (clinical, financial, operational).
Ability to maintain focus on data quality, accuracy, and integrity.
Strong analytical thinking with a continuous improvement mindset.
Effective contributor in collaborative, cross-functional environments.

Work Environment/Physical Demands
The work environment/physical demands described here are representative of those that must be met by a teammate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable differently abled persons to perform the essential functions.